Techniques for Protecting RAG Agents from Prompt Attacks and Malicious Users
By
Noah Over
Summary
The article discusses techniques for protecting a RAG (Retrieval-Augmented Generation) agent from malicious users and prompt attacks. The author describes building an API for a RAG agent designed to stay on a hyper-specific subject, and implementing multiple combined solutions to prevent users from derailing the agent's purpose, including defense against prompt injection and adversarial attempts.
Source
Key quotes
· 3 pulledWe specifically wanted this agent to be sure to always stay on subject and to not allow anything a user might do get it off subject, including users who maliciously attempt to use our bot for purposes it was not designed for.
In order to prevent this sort of thing, I implemented a variety of solutions that, when combined, do a good job of keeping our agent on track.
Some techniques I have used to protect a RAG agent from malicious users and prompt attacks
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